108 related articles for article (PubMed ID: 38722090)
1. Finding and following: a deep learning-based pipeline for tracking platelets during thrombus formation
McGovern AS; Larsson P; Tarlac V; Setiabakti N; Shabani Mashcool L; Hamilton JR; Boknäs N; Nunez-Iglesias J
Platelets; 2024 Dec; 35(1):2344512. PubMed ID: 38722090
[TBL] [Abstract][Full Text] [Related]
2. Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.
Wang X; Zeng W; Yang X; Zhang Y; Fang C; Zeng S; Han Y; Fei P
Elife; 2021 Jan; 10():. PubMed ID: 33459255
[TBL] [Abstract][Full Text] [Related]
3. Counting the platelets: a robust and sensitive quantification method for thrombus formation.
Claesson K; Lindahl TL; Faxälv L
Thromb Haemost; 2016 Jun; 115(6):1178-90. PubMed ID: 26842994
[TBL] [Abstract][Full Text] [Related]
4. 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images.
Wen C; Miura T; Voleti V; Yamaguchi K; Tsutsumi M; Yamamoto K; Otomo K; Fujie Y; Teramoto T; Ishihara T; Aoki K; Nemoto T; Hillman EM; Kimura KD
Elife; 2021 Mar; 10():. PubMed ID: 33781383
[TBL] [Abstract][Full Text] [Related]
5. Performance of deep learning restoration methods for the extraction of particle dynamics in noisy microscopy image sequences.
Kefer P; Iqbal F; Locatelli M; Lawrimore J; Zhang M; Bloom K; Bonin K; Vidi PA; Liu J
Mol Biol Cell; 2021 Apr; 32(9):903-914. PubMed ID: 33502895
[TBL] [Abstract][Full Text] [Related]
6. MIA is an open-source standalone deep learning application for microscopic image analysis.
Körber N
Cell Rep Methods; 2023 Jul; 3(7):100517. PubMed ID: 37533647
[TBL] [Abstract][Full Text] [Related]
7. An adaptable analysis workflow for characterization of platelet spreading and morphology.
Pike JA; Simms VA; Smith CW; Morgan NV; Khan AO; Poulter NS; Styles IB; Thomas SG
Platelets; 2021 Jan; 32(1):54-58. PubMed ID: 32321340
[TBL] [Abstract][Full Text] [Related]
8. DeepImageTranslator: A free, user-friendly graphical interface for image translation using deep-learning and its applications in 3D CT image analysis.
Ye RZ; Noll C; Richard G; Lepage M; Turcotte ÉE; Carpentier AC
SLAS Technol; 2022 Feb; 27(1):76-84. PubMed ID: 35058205
[TBL] [Abstract][Full Text] [Related]
9. Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC.
Padovani F; Mairhörmann B; Falter-Braun P; Lengefeld J; Schmoller KM
BMC Biol; 2022 Aug; 20(1):174. PubMed ID: 35932043
[TBL] [Abstract][Full Text] [Related]
10. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
Elife; 2020 Oct; 9():. PubMed ID: 33074102
[TBL] [Abstract][Full Text] [Related]
11. Computational Tracking of Shear-Mediated Platelet Interactions with von Willebrand Factor.
Ralph A; Somers M; Cowman J; Voisin B; Hogan E; Dunne H; Dunne E; Byrne B; Kent N; Ricco AJ; Kenny D; Wong S
Cardiovasc Eng Technol; 2016 Dec; 7(4):389-405. PubMed ID: 27743349
[TBL] [Abstract][Full Text] [Related]
12. Novel Stenotic Microchannels to Study Thrombus Formation in Shear Gradients: Influence of Shear Forces and Human Platelet-Related Factors.
Lui M; Gardiner EE; Arthur JF; Pinar I; Lee WM; Ryan K; Carberry J; Andrews RK
Int J Mol Sci; 2019 Jun; 20(12):. PubMed ID: 31216638
[TBL] [Abstract][Full Text] [Related]
13. Object recognition in medical images via anatomy-guided deep learning.
Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
[TBL] [Abstract][Full Text] [Related]
14. A computational pipeline for quantification of pulmonary infections in small animal models using serial PET-CT imaging.
Bagci U; Foster B; Miller-Jaster K; Luna B; Dey B; Bishai WR; Jonsson CB; Jain S; Mollura DJ
EJNMMI Res; 2013 Jul; 3(1):55. PubMed ID: 23879987
[TBL] [Abstract][Full Text] [Related]
15. DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning.
Lugagne JB; Lin H; Dunlop MJ
PLoS Comput Biol; 2020 Apr; 16(4):e1007673. PubMed ID: 32282792
[TBL] [Abstract][Full Text] [Related]
16. Quantification of Platelet Contractile Movements during Thrombus Formation.
Tunströmer K; Faxälv L; Boknäs N; Lindahl TL
Thromb Haemost; 2018 Sep; 118(9):1600-1611. PubMed ID: 30112750
[TBL] [Abstract][Full Text] [Related]
17. Unbiased image segmentation assessment toolkit for quantitative differentiation of state-of-the-art algorithms and pipelines.
Goyal V; Schaub NJ; Voss TC; Hotaling NA
BMC Bioinformatics; 2023 Oct; 24(1):388. PubMed ID: 37828466
[TBL] [Abstract][Full Text] [Related]
18. Deep learning for cellular image analysis.
Moen E; Bannon D; Kudo T; Graf W; Covert M; Van Valen D
Nat Methods; 2019 Dec; 16(12):1233-1246. PubMed ID: 31133758
[TBL] [Abstract][Full Text] [Related]
19. Functional Relevance of the Anaphylatoxin Receptor C3aR for Platelet Function and Arterial Thrombus Formation Marks an Intersection Point Between Innate Immunity and Thrombosis.
Sauter RJ; Sauter M; Reis ES; Emschermann FN; Nording H; Ebenhöch S; Kraft P; Münzer P; Mauler M; Rheinlaender J; Madlung J; Edlich F; Schäffer TE; Meuth SG; Duerschmied D; Geisler T; Borst O; Gawaz M; Kleinschnitz C; Lambris JD; Langer HF
Circulation; 2018 Oct; 138(16):1720-1735. PubMed ID: 29802205
[TBL] [Abstract][Full Text] [Related]
20. Thrombus remodelling by reversible and irreversible P2Y
Tunströmer K; Faxälv L; Larsson P; Lindahl TL; Boknäs N
Platelets; 2023 Dec; 34(1):2157805. PubMed ID: 36631918
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
